The POP learning algorithms: reducing work in identifying fuzzy rules
The path inference filter: Model-based low-latency map matching of probe vehicle data
The past, present, and future of neural networks for signal processing
The need for verification and validation techniques for adaptive control system
Task segmentation - an approach to simulator task fidelity
Target recognition using neural networks for model deformation measurements
Tactile display technologies as an enabler for space exploration operations
Systems, man and cybernetics, international conference, Dallas, 2 - 4 oct., 1974
Strategieplanungen für das hybride Recycling in der Automobilindustrie
Stochastic optimal control of active vehicle suspensions using learning automata
Stellenwert von Fahrerassistenzsystemen bei Fahrlehrern und Fahrschülern
Steering in a Random Forest. Ensemble Learning for Detecting Drowsiness-Related Lane Departures
SSME parameter model input selection using genetic algorithms
Software V&V support by parametric analysis of large software simulation systems
Self-adaptive recurrent neuro-fuzzy control for an autonomous underwater vehicle